Data Retriever

The Data Retriever is a package manager for data. It downloads, cleans, and
stores publicly available data, so that analysts spend less time cleaning and
managing data, and more time analyzing it.

“Thanks to the Data Retriever I went from idea to results in 30 minutes, and
to a submitted manuscript in two months.”
– Jean Philippe Gibert

Quick Start

The Data Retriever is written in Python and run using a command line interface
or an associated R package. It installs publicly available data into a variety
of databases (MySQL, PostgreSQL, SQLite, MS Access) and file formats (csv, json,
xml).

Install

This section provides full installation instructions for the Data Retriever. In
addition to the approaches described in the Quick Start it also
covers how to install using installers that don’t require installing Python
directly and how to install from source.

Method 1: Python

The easiest way to install the Data Retriever is using Python (as described in
the Quick Start). If you have Python installed run:

pip install retriever

or if your Python installation is based on conda or Anaconda use:

conda install retriever -c conda-forge

If you don’t have Python installed we recommend
installing it using the Anaconda installer then running the conda install command above.
NOTE:
When installing Anaconda through the installer, make sure that the ‘add to PATH’ option is checked.

Method 2: Installers

If you don’t want to install Python you can download installers for Windows, OS
X and Ubuntu/Debian Linux.